make_plots: Plot and table of summary stats for continuous variables

In emilelatour/laviz: What the Package Does (One Line, Title Case)

Plot and table of summary stats for continuous variables

Description

An opinionated function to plot exploratory data analysis (EDA) type information for an entire data frame, quickly and easily. Given a data frame or tibble, the function will create a plot/table combination depending on the class of the variable or column. Best use is to call this function within a RMarkdown file as part of the initial data exploration. This serves as documentation about the distributions of the variables in a data set.

Usage

plot_cont(
  data,
  var,
  binw_select = "FD",
  subtitle = "Histogram (left), summary statistics (right)"
)

plot_categ(
  data,
  var,
  subtitle = paste0("Bar graph (left), ", "frequency table of top 5 levels (right)")
)

make_plots(df)

Arguments

data	A data frame or tibble
var	Variable or column name
binw_select	Specify method to calculate the bin width. "FD" for Freedman-Diaconis (1981) (default), "Sturges" for Sturges (1926), "Scott" for Scott (1979), "Square-root" for Square-root (N/A), or "Rice" for Rice (1944).
subtitle	String
df	A data frame or tibble

Value

A plot object

A plot object

A plot object

Examples

library(ggplot2)
plot_cont(data = mtcars, var = disp)
plot_cont(data = mtcars, var = disp, binw_select = "Sturges")
plot_cont(data = mtcars, var = disp, binw_select = "Scott")
plot_cont(data = mtcars, var = disp, binw_select = "Rice")

ggplot(data = mtcars, aes(x = disp)) +
  geom_histogram()

ggplot(data = mtcars, aes(x = disp)) +
  geom_histogram(aes(y = ..density..), binwidth = 40) +
  geom_density()

library(dplyr)
library(ggplot2)
mt2 <- mtcars %>%
  mutate(cyl = factor(cyl))

plot_categ(data = mt2, var = cyl)
library(ggplot2)
make_plots(diamonds)

emilelatour/laviz documentation built on Oct. 15, 2023, 1:41 p.m.